Objective:To explore the clinical application value of artificial intelligence models in identifying bleeding events and hemorrhagic points during laparoscopic pancreatic surgery.Methods:This single-center retrospective cohort study collected surgical videos of 25 patients undergoing laparoscopic pancreatic surgery at the Department of General Surgery, Peking Union Medical College Hospital from January 2022 to December 2024. Videos within 5 seconds before and after representative bleeding events were captured at 30 frames/s, with 11 666 hemorrhagic-related video frames annotated. Two algorithm models were developed: a pigment-based model and a pigment+optical flow-based model for classification and target recognition of bleeding frames. The training and test sets for the pigment-based algorithm contained 4 692 hemorrhagic and 4 309 non-hemorrhagic frames, while those for the pigment+optical flow model included 1 339 hemorrhagic and 1 326 non-hemorrhagic frames. Performance evaluation was conducted using overlap thresholds, with accuracy and recall rates as key metrics.Results:The pigment-based model achieved 93.8% accuracy (134/143) and 43.3% recall (134/310) in hemorrhagic frame classification. At an overlap threshold of 0.3, the pigment-based model showed 84.1% accuracy (433/515) and 85.4% recall (433/507) in target recognition. When the threshold was increased to 0.5, the pigment+optical flow model demonstrated 88.1% accuracy (354/402) and 89.2% recall (354/397) in hemorrhagic target recognition.Conclusions:It is difficult to distinguish active bleeding from old bleeding completely by pigment information alone. The spatio-temporal features can be effectively extracted by combining pigment and optical flow information, and the bleeding can be accurately identified and located, which has potential clinical application value.

Objective:To explore the clinical application value of artificial intelligence models in identifying bleeding events and hemorrhagic points during laparoscopic pancreatic surgery.Methods:This single-center retrospective cohort study collected surgical videos of 25 patients undergoing laparoscopic pancreatic surgery at the Department of General Surgery, Peking Union Medical College Hospital from January 2022 to December 2024. Videos within 5 seconds before and after representative bleeding events were captured at 30 frames/s, with 11 666 hemorrhagic-related video frames annotated. Two algorithm models were developed: a pigment-based model and a pigment+optical flow-based model for classification and target recognition of bleeding frames. The training and test sets for the pigment-based algorithm contained 4 692 hemorrhagic and 4 309 non-hemorrhagic frames, while those for the pigment+optical flow model included 1 339 hemorrhagic and 1 326 non-hemorrhagic frames. Performance evaluation was conducted using overlap thresholds, with accuracy and recall rates as key metrics.Results:The pigment-based model achieved 93.8% accuracy (134/143) and 43.3% recall (134/310) in hemorrhagic frame classification. At an overlap threshold of 0.3, the pigment-based model showed 84.1% accuracy (433/515) and 85.4% recall (433/507) in target recognition. When the threshold was increased to 0.5, the pigment+optical flow model demonstrated 88.1% accuracy (354/402) and 89.2% recall (354/397) in hemorrhagic target recognition.Conclusions:It is difficult to distinguish active bleeding from old bleeding completely by pigment information alone. The spatio-temporal features can be effectively extracted by combining pigment and optical flow information, and the bleeding can be accurately identified and located, which has potential clinical application value.

Objective To evaluate the accuracy and clinical application value of the fluorescence quantitative PCR melting curve meth-od for detecting fungal nucleic acid.Methods 460 suspected or confirmed patients with respiratory fungal infections were enrolled in the study.The fluorescence quantitative PCR melting curve method was used as the test method,and the fungal 26S rRNA gene nucleic acid detection kit combined with Sanger sequencing was used as the reference method.Sputum samples from each study subject were collected and detected by the test method and reference method,respectively.The Kappa value of the two methods was calculated to evaluate the consistency of the results.Results Compared with the reference method,the overall conformity rate of the test method was 92.83%(427/460).Compared with the reference method,the positive conformity rates,negative conformity rates,and overall conformity rates of the test method for detecting 8 fungi,including Candida albicans,Candida glabrata,Candida krusei,Candida trop-icalis,Candida parapsilosis,Cryptococcus neoformans,Candida guilliermondii,and Aspergillus,were 97.34%(183/188),97.06%(264/272),and 97.17%(447/460),100.00%(33/33),99.77%(426/427),and 99.78%(459/460),100.00%(16/16),99.55%(442/444),and 99.57%(458/460),98.11%(52/53),99.75%(442/444),and 99.57%(458/460),95.08%(58/61),99.50%(397/399),and 98.91%(455/460),100.00%(9/9),99.56%(449/451),and 99.57%(458/460),85.00%(17/20),99.32%(437/440),and 98.70%(454/460),and 97.59%(81/83),97.88%(369/377),and 97.83%(450/460),respectively.The Kappa values for the consistency evaluation of the two methods'detection results were both greater than 0.8.Upon retesting the inconsistent re-sults of the two methods,it was found that 53.7%(22/41)of the detection results were consistent with the test method,and the others were consistent with the reference method.Conclusion The fluorescence quantitative PCR melting curve method can simultaneously detect 8 kinds of fungi,and the detection results are highly consistent with the reference method.It has unique advantages in fungal de-tection and important clinical application value.

Objective To investigate the effect of dihydroartemisinin(DHA)for enhancing the inhibitory effect of cisplatin(DDP)on DDP-resistant nasopharyngeal carcinoma cell line HNE1/DDP and explore the mechanism.Methods CCK-8 method was used to assess the survival rate of HNE1/DDP cells treated with DHA(0,5,10,20,40,80,and 160 μmol/L)and DDP(0,4,8,16,32,64,128 μmol/L)for 24 or 48 h,and the combination index of DHA and DDP was calculated using Compusyn software.HNE1/DDP cells treated with DHA,DDP,or their combination for 24 h were examined for cell viability,proliferation and colony formation ability using CCK-8,EdU and colony-forming assays.Flow cytometry was used to detect cell apoptosis and intracellular reactive oxygen species(ROS).The expression levels of apoptosis-related proteins cleaved PARP,cleaved caspase-9 and cleaved caspase-3 were detected by Western blotting.The effects of N-acetyl-cysteine(a ROS inhibitor)on proliferation and apoptosis of HNE1/DDP cells with combined treatment with DHA and DDP were analyzed.Results Different concentrations of DHA and DDP alone both significantly inhibited the viability of HNE1/DDP cells.The combination index of DHA(5 μmol/L)combined with DDP(8,16,32,64,128 μmol/L)were all below 1.Compared with DHA or DDP alone,their combined treatment more potently decreased the cell viability,colony-forming ability and the number of EdU-positive cells,and significantly increased the apoptotic rate,intracellular ROS level,and the expression levels of cleaved PARP,cleaved caspase-9 and cleaved caspase-3 in HNE1/DDP cells.N-acetyl-cysteine pretreatment obviously attenuated the inhibitory effect on proliferation and apoptosis-inducing effect of DHA combined with DDP in HNE1/DDP cells(P<0.01).Conclusion DHA enhances the growth-inhibitory and apoptosis-inducing effect of DDP on HNE1/DDP cells possibly by promoting accumulation of intracellular ROS.

Objective To investigate the effect of dihydroartemisinin(DHA)for enhancing the inhibitory effect of cisplatin(DDP)on DDP-resistant nasopharyngeal carcinoma cell line HNE1/DDP and explore the mechanism.Methods CCK-8 method was used to assess the survival rate of HNE1/DDP cells treated with DHA(0,5,10,20,40,80,and 160 μmol/L)and DDP(0,4,8,16,32,64,128 μmol/L)for 24 or 48 h,and the combination index of DHA and DDP was calculated using Compusyn software.HNE1/DDP cells treated with DHA,DDP,or their combination for 24 h were examined for cell viability,proliferation and colony formation ability using CCK-8,EdU and colony-forming assays.Flow cytometry was used to detect cell apoptosis and intracellular reactive oxygen species(ROS).The expression levels of apoptosis-related proteins cleaved PARP,cleaved caspase-9 and cleaved caspase-3 were detected by Western blotting.The effects of N-acetyl-cysteine(a ROS inhibitor)on proliferation and apoptosis of HNE1/DDP cells with combined treatment with DHA and DDP were analyzed.Results Different concentrations of DHA and DDP alone both significantly inhibited the viability of HNE1/DDP cells.The combination index of DHA(5 μmol/L)combined with DDP(8,16,32,64,128 μmol/L)were all below 1.Compared with DHA or DDP alone,their combined treatment more potently decreased the cell viability,colony-forming ability and the number of EdU-positive cells,and significantly increased the apoptotic rate,intracellular ROS level,and the expression levels of cleaved PARP,cleaved caspase-9 and cleaved caspase-3 in HNE1/DDP cells.N-acetyl-cysteine pretreatment obviously attenuated the inhibitory effect on proliferation and apoptosis-inducing effect of DHA combined with DDP in HNE1/DDP cells(P<0.01).Conclusion DHA enhances the growth-inhibitory and apoptosis-inducing effect of DDP on HNE1/DDP cells possibly by promoting accumulation of intracellular ROS.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To explore the effect of chronic incomplete sleep deprivation (SD) on ovarian reserve function in mice and its potential mechanisms.Methods:Sixteen 7-8 week old female C57BL/6 SPF mice were randomly divided into control and SD groups ( n=8 per group) after one week of acclimatization. The mice in the SD group were treated with SD from 7:00 to 10:00 using a deprivation rod for a total of 40 d. Before the first day and the last day of the experiment, vaginal smears were collected daily for 9 d to record and evaluate the estrous cycle. On the last day of the experiment, serum levels of estradiol, progesterone, follicle-stimulating hormone (FSH), luteinizing hormone (LH), and melatonin (MT) were measured by enzyme-linked immunosorbent assay (ELISA). The ovaries were dissected to calculate the ovarian index and count the number of primordial follicles by hematoxylin-eosin (HE) staining. Cardiac perfusion was performed to get the brains and the expression of c-Fos protein was observed in the suprachiasmatic nucleus (SCN) by immunohistochemistry. Results:Compared with control group, SD group had a tendency of estrous cycle disorders. Hormone levels of estradiol [(20.19±3.67) ng/L], progesterone [(2.88±0.53) μg/L], and FSH [(13.42±2.36) U/L] in the SD group were significantly lower than those in control group [(24.66±2.15) ng/L, P=0.010; (3.43±0.49) μg/L, P=0.049; (17.01±1.49) U/L, P=0.003]. Hormone levels of LH and MT in the SD group were lower than those in control group, but without statistical significances (all P>0.05). There was no significant change in the number of primordial follicles between the two groups ( P>0.05). However, the oocyte morphology was poor, the granulosa cells were disorderedly arranged, the number of atretic follicles was decreased, and ovarian fibrosis was obvious in the SD group. Immunohistochemical staining showed an upregulation of c-Fos protein expression in the SCN of the SD group. Conclusion:Continuous 3 h SD for 40 d impairs ovarian reserve function in mice, possibly related to excessive activation of the SCN.

Objective:To explore the effect of chronic incomplete sleep deprivation (SD) on ovarian reserve function in mice and its potential mechanisms.Methods:Sixteen 7-8 week old female C57BL/6 SPF mice were randomly divided into control and SD groups ( n=8 per group) after one week of acclimatization. The mice in the SD group were treated with SD from 7:00 to 10:00 using a deprivation rod for a total of 40 d. Before the first day and the last day of the experiment, vaginal smears were collected daily for 9 d to record and evaluate the estrous cycle. On the last day of the experiment, serum levels of estradiol, progesterone, follicle-stimulating hormone (FSH), luteinizing hormone (LH), and melatonin (MT) were measured by enzyme-linked immunosorbent assay (ELISA). The ovaries were dissected to calculate the ovarian index and count the number of primordial follicles by hematoxylin-eosin (HE) staining. Cardiac perfusion was performed to get the brains and the expression of c-Fos protein was observed in the suprachiasmatic nucleus (SCN) by immunohistochemistry. Results:Compared with control group, SD group had a tendency of estrous cycle disorders. Hormone levels of estradiol [(20.19±3.67) ng/L], progesterone [(2.88±0.53) μg/L], and FSH [(13.42±2.36) U/L] in the SD group were significantly lower than those in control group [(24.66±2.15) ng/L, P=0.010; (3.43±0.49) μg/L, P=0.049; (17.01±1.49) U/L, P=0.003]. Hormone levels of LH and MT in the SD group were lower than those in control group, but without statistical significances (all P>0.05). There was no significant change in the number of primordial follicles between the two groups ( P>0.05). However, the oocyte morphology was poor, the granulosa cells were disorderedly arranged, the number of atretic follicles was decreased, and ovarian fibrosis was obvious in the SD group. Immunohistochemical staining showed an upregulation of c-Fos protein expression in the SCN of the SD group. Conclusion:Continuous 3 h SD for 40 d impairs ovarian reserve function in mice, possibly related to excessive activation of the SCN.

Objective:To explore the feasibility of deep learning technology for renal artery recognition in retroperitoneal laparoscopic renal surgery videos.Methods:From January 2020 to July 2021, the video data of 87 cases of laparoscopic retroperitoneal nephrectomy, including radical nephrectomy, partial nephrectomy, and hemiurorectomy, were retrospectively analyzed. Two urological surgeons screened video clips containing renal arteries. After frame extraction, annotation, review, and proofreading, the labeled targets were divided into training set and test set by the random number table in a ratio of 4∶1. The training set was used to train the neural network model. The test set was used to test the ability of the neural network to identify the renal artery in scenes with different difficulties, which was uniformly transmitted to the YOLOv3 convolutional neural network model for training. According to the opinion of two senior doctors, the test set was divided into high, medium, and low discrimination of renal artery and surrounding tissue. High identification means a clean renal artery and a large exposed area. For middle recognition degree, the renal artery had a certain degree of blood immersion, and the exposed area was medium. Low identification means that the exposed area of the renal artery was small, often located at the edge of the lens, and the blood immersion was severe, which may lead to lens blurring. In the surgical video, the annotator annotated the renal artery truth box frame by frame. After normalization and preprocessing, all images were input into the neural network model for training. The neural network output the renal artery prediction box, and if the overlap ratio (IOU) with the true value box was higher than the set threshold, it was judged that the prediction was correct. The neural network test results of the test set were recorded, and the sensitivity and accuracy were calculated according to IOU.Results:In the training set, 1 149 targets of 13 videos had high recognition degree, 1 891 targets of 17 videos had medium recognition degree, and 349 targets of 18 videos had low recognition degree. In the test set, 267 targets in 9 videos had high recognition degree, 519 targets in 11 videos had medium recognition degree, and 349 targets in 18 videos had low recognition degree. When the IOU threshold was 0.1, the sensitivity and accuracy were 52.78% and 82.50%, respectively. When the IOU threshold was 0.5, the sensitivity and accuracy were 37.80% and 59.10%, respectively. When the IOU threshold was 0.1, the sensitivity and accuracy of high, medium and low recognition groups were 89.14% and 87.82%, 45.86% and 78.03%, 32.95%, and 76.67%, respectively. The frame rate of the YOLOv3 algorithm in real-time surgery video was ≥15 frames/second. The false detection rate and missed detection rate of neural network for renal artery identification in laparoscopic renal surgery video were 47.22% and 17.49%, respectively (IOU=0.1). The leading causes of false detection were similar tissue and reflective light. The main reasons for missed detection were image blurring, blood dipping, dark light, fascia interference, or instrument occlusion, etc.Conclusions:Deep learning-based renal artery recognition technology is feasible. It may assist the surgeon in quickly identifying and protecting the renal artery during the operation and improving the safety of surgery.

Objective: To investigate the clinicopathologic features and prognosis of the patients who had clear cell renal cell carcinoma (CCRCC) with metastasis to the pancreas. Methods: From Jan, 2000 to Dec, 2018, 18 patients with clear cell renal cell carcinoma (CCRCC) and had pathologically diagnosed metastasis to the pancreas were enrolled at Peking Union Medical College Hospital. The clinical and pathological data were retrospectively analyzed. Results: 11 out of 18 patients were male, and the other 7 were female. The average age of onset of CCRCC was 51.4 years. 8 cases (44.4%) occurred in the left kidney, and the other 10 cases (55.6%) with right kidney tumor. Three patients had synchronous pancreatic metastasis, and the other 15 patients had metachronous pancreatic metastasis. The median time from CCRCC onset to pancreas metastasis was 156 months. The main complaints of pancreas metastasis were abdominal pain, jaundice, gastrointestinal bleeding, nausea, weakness, loss of weight and so on. Seven patients (38.9%) had single lesion of pancreas, while 11 patients (66.1%) had multiple lesions of pancreas. Nine patients (50%) had other organs metastasis besides pancreatic metastasis at the same time. Five patients underwent pancreatic metastasis resection, while 15 patients received oral tyrosine kinase inhibitor(TKI). The mean follow-up was 171.7 months(1~361.5 months) and 5 patients died. The median overall survival (mOS) was 122 months, and the 5 year-survival rate was 81.4%. In univariate analysis, synchronous metastasis to the pancreas, relapse after 10 years, Memorial Sloan Kettering Cancer Center prognostic index, International Metastatic Renal Cell Carcinoma Database Consortium index were all significant parameters for patients′survival. Conclusions Metastasis to the pancreas from clear cell renal cell carcinoma were rare. These patients had better survival outcomes, especially those relapsing after ten years. Pancreatic metastasis resection had no significant benefit on patient′s survival.